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Your Shopping Cart just got a whole lot Smarter, this festive season

7 minutes, 7 seconds read

The shopping season has officially returned to the Indian subcontinent. While the first phase of festivities (typically) kicks off with the onset of Navratri (sep 29) till Dussehra (oct 8), Indian retailers will have clocked above 40% of their annual sales within this ten day window alone. For consumers, ‘better deals’ take precedence over attributes like faster shipping during this season. In fact, retailers will have adjusted their pricing to strongly reflect these consumer preferences — a pair of women’s running shoes, for instance, will have a discounted price of 19% pre-diwali and upto a flat 50% discounted price on the day of. 

In a country with over 400M active online users, customer fealty during this season is even more fickle than usual. The growing number of online consumers are heralding new buying behaviors especially from tier 2 and 3 cities. According to Google Insights, 70% of Indian netizens go online during the festive season to browse products, compare prices, read reviews and look for deals. For brands & retailers, getting in front of these potential customers and clamoring for their attention is the pivotal moment of truth. 

Amazon and Walmart-owned Flipkart, India’s top two e-tailers, are using intelligent technologies to stave off each other’s aggressive discounting strategies. The two e-commerce giants have cumulatively created over 140,000 temporary jobs across supply chain, last-mile connectivity and customer support to handle the extra influx of trade. Daily shipments in India is expected to touch 4 million units during the ongoing festive season.

AI in e-commerce:India's e-retail market share of gross merchandise value.

Which begs the question: How are they doing this? How are they using technology to stay-on-top?

It’s no secret, the retail spend on AI is forecast to grow from $2 billion in 2018 to $7.3 billion by 2022, according to Juniper Research.
In reality, they rely on Artificial Intelligence — it is where these companies have primarily invested a huge chunk of change to enhance their business. By leveraging the right set of AI-assisted tools in their operations, they are able to retain and convert more customers. 

Artificial Intelligence and related technologies like machine learning and natural language processing has intensified over the digital buying landscape. This has forced brick & mortar stores including physical outlets with omni channel reach to a receding corner of the industry.

There’s more to the digital landscape than meets the eye. It is a space plagued with security concerns. E-commerce companies are using AI to detect and eliminate potential frauds on their platform. They’ve deployed AI models that constantly vets fraudulent accounts that have only signed up to make the most of promo codes, or bring cash out of stolen credit cards. 

Yes, aggressive pricing does work as reflected by the higher EMI adoption this year. However, cash burn through discounts is not the overhaul the industry can sustain itself on. Big Data Analytics can prescribe a more proactive approach for suggestions based on statistical association evaluation, time spent on site, cookies behavior and method of accessing site which can tell a brand the how, what and when of the customer buying cycle — in turn, increasing sales.

AI has even infiltrated physical retail, and is now helping stores maximise marketing efforts, personalise the customer experience and optimise their store inventory.

AI in retail market

Warehouses and stores, in India, are also making use of ‘Cobots (collaborative robots) to assist humans in performing tedious and repetitive shop-floor tasks. The cobots run on machine learning algorithms that have defined its capacity to perform specific tasks while also learning to get better with new data.

Ahead of this year’s festive sale, Flipkart has added 340 cobots or automated guided vehicles (AGVs) to its current fleet of 110. These bots can carry anything with them, from appliances to mobile phones. 

After the first phase of the festive shopping marathon, Amazon and Flipkart have both made significant wins over the period. They will look to extend their market capture as we move into the second phase of the season (Diwali).

Interestingly, for Amazon, almost half the product sales came from lower-tier urban areas. Amazon India-owned Echo products even saw a record 70 fold increase in sales.

Flipkart receives over 90% of traffic from its android app, and has designed its app home screen personalized to each of its 120 million+ customers. They have deployed machine learning models and algorithms on various customer data points like customer location, language, gender, price, affinity to a store or brand, purchasing frequency, purchase volume, price group, etc. among others.

These data points help Flipkart make predictions even without the customer being on their platform. Using these machine learning models they are also able to predict if a customer is going to return a particular product.

This season, customers can continue to expect strides in personalization and tailored experiences. E-tailers can expect to see improvements to their order handling, and personalization efforts. Overtime, these improvements will pay dividends in the form of revenue enhancement, increased margins, and higher sales.

How can AI upscale e-commerce

AI has made smooth inroads into digital shopping aisles — with several intelligent use cases such as stock assortment, fraud reduction and self-checkout. Here is a brief compilation of adopted strategies used in retail with the potential to disrupt the future of online shopping.

Product Recommendations

Recommendation engines have become a staple of commercial AI usage. By looking at customers’ purchase histories, current activity (cart contents and page views), and other linked third-party data, e-tailers can make highly tailored suggestions. Amazon, for example, makes more than 40% of its sales via their recommendation engine which also suggests items based on what your friends have purchased recently.Demand Forecasting
E-tailers expect to know in advance how much of each product is projected to especially during peak season. AI can enhance demand predictions by minimizing overstock and out-of-stock situations. ML Algorithms can optimise what products should be made available in a particular geography. For example, Levi’s is using AI to improve size availability, and Nike is using geographical and behavioural data from its app to inform store offerings.

Personalization

AI systems can capture deep customer insights about their buying preferences and behavior using their social data, purchase history, and browsing habits. AI can fill in the gaps by looking at a user’s spending patterns and other data sources to come up with a very detailed view of the customer. This has proven to enhance the customer’s digital shopping experience with a more satisfying view of highly relevant and hyper-personalized offerings.

Shopping Assistant

An AI-powered shopping assistant is a natural extension of the chatbot, with layers of visual processing added in. For example, if a customer wants to choose an outfit for a special occasion. The AI shopping assistant could learn their tastes and help them select some garments. It could then walk them through the process of virtually trying on an outfit (virtual trial rooms). It could offer suggestions for complementary items or encourage them to buy the product, as a friend might. The shopping assistant can also suggest the complementary outfits, footwear and accessories just like a real fashion assistant/advisor would.

Swift Customer Service

Primarily dominated by chatbots over the last several years, bots can learn from the interactions between customers and human reps. Chatbots are trained using natural language processing techniques to understand jargon and ‘speech’ specific to retail. They can then use the data it harvests to create a more personable interaction. It can also quickly reduce the number of touchpoints for the customer and help address immediate queries related to pricing, product availability, returns and recommendations without the need for human intervention.

Also read – How Chatbots are changing the digital Indian?

Smarter Voice Searches

Voice-powered searches can act on a ton of customer insights and information fed into the recommendation engine from the customer’s profile. Voice-activated shopping, is a natural extension of human behavior — allowing consumers to take control of the omnichannel experience to learn more about the product, gather quick product information, compare prices etc. Orders placed via Alexa have increased three times more than the year-ago festive shopping season.

Product identification & visual search

esearch has shown customers who gravitate towards voice-powered searches, equally embrace visual searches. For example, an AI-powered matching algorithm could look at the images of a customer’s favorite products (shirts, sneakers etc.) and suggest similar ones based on attributes like pattern, fit, color, style etc. The AI program can also identify products kept in cart and website pages from browsing based on the customers’ past shopping data and other data from various sources, making the suggestions more accurate with time.

To know more about how Artificial Intelligence can help increase your persona capture and retention, reach out to us on hello@mantralabsglobal.com.

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MantraTalks Podcast with Richard Roy Mendonce: Covid-19 & the Disruption in Healthcare

11 minutes, 21 seconds read

The outbreak of COVID-19 has put immense pressure on the healthcare sector. The supply chain of medical supplies was hit. The sudden surge of patients made it difficult to manage the hospital operations. Since priority had to be given to COVID patients, regular consults and elective surgeries were delayed. 

To go one step further and understand the disruption in healthcare amidst these adverse conditions, we interviewed Mr. Richard Roy Mendonce, Head Digital Strategy at Yashoda Hospitals to shed light on the role of technology in combating the current challenges faced by healthcare and possible mitigation strategies.

Mr. Richard Roy Mendonce has a strong domain expertise within the Healthcare Industry and has successfully infused digital transformations in various organizations like Columbia Asia Group of Hospitals, Sakra World Hospital, and Manipal Hospitals Group that ensured better customer experience and increased business. 

A Digital Strategist, he currently leads the digital efforts at Yashoda Hospitals, which is among the oldest and biggest healthcare groups in the region. He has nearly a decade of experience in digital marketing, digital strategy and digital transformation, with a distinctive ability to develop highly effective and measurable strategies that drive revenue growth, new customers, brand awareness and reputation. 

Constantly inspired & fascinated by the dynamics of the digital landscape, he has developed a skill set built on the art of leveraging digital technologies focused to deliver positive user experiences and achieve business objectives. In 2019, he was awarded as one of the 50 Most Influential Strategy Leaders by COM Global at World Marketing Congress.

Connect with Mr. Richard Roy Mendonce – LinkedIn

Watch the interview: 

The excerpt from the interview:

Covid-19 & the Disruption in Healthcare

Many hospitals are reassessing their digital marketing strategy and budgets in light of the uncertain economic situation. Most healthcare organizations can benefit from taking this time to strategize and plan for the future, rather than putting the brakes on. Please share some key insights into the changing patient behavior and the steps you are taking to reach them? Also, How will the healthcare marketing landscape change Beyond COVID-19?

Mr. Richard: In terms of healthcare, especially telemedicine, COVID-19 has completely cut down the channel of visiting doctors in-person for a consult. Lack of options has increased more acceptance towards Telemedicine. A couple of months back, we compared the benefits and comfort of direct consultation to an online one. We were reluctant to have those experiences but now acceptance has increased. 

Another thing I feel is —  we do not need high-end technology or equipment. When we hear of telemedicine, what comes first to our mind is jazzy computers, high-tech connections, software, etc.; but that is not the case. Even a simple SMS/call/WhatsApp call is enough to connect with a doctor. We don’t really need any high-end equipment to start a telemedicine service. 

Today, most of the spending is being diverted to digital channels rather than traditional offline ones and it will continue to happen. Digital channels are more trackable, more efficient, and more controllable. Even digital connect to engage with offline channels is gaining momentum. Healthcare set-ups will have offline referral networks, business partners. Traditionally, there would be a sales team who go meet and connect with them. Now with the social distancing and lockdowns, even that connection is replaced with digital connections such as webinars, video calls, etc. 

Communication in marketing has also changed. Before COVID-19, the communication was “Don’t ignore your health, come to us”. During the COVID-19 situation, the communication was “Come to us only if it is an emergency, it’s better to stay at home”. Post COVID-19, the communication might be- “Wherever you are, we are accessible, come to us or use our online services.” 

Telemedicine in a Post-Pandemic India

In the short time since the Pandemic began, the impact of social distancing norms has changed our daily lives & routines. Due to which, services like live remote consultations and telemedicine are getting more attention. Telemedicine is likely a permanent beneficiary of the pandemic. Do you think it will remain a key mode of healthcare delivery even after restrictions are lifted? Are there other digitally-enabled services that can potentially find greater adoption in a Post-Pandemic India?

Mr. Richard: Telemedicine will continue to be one of the modes of care delivery but that will not replace the existing care delivery system. Rather, it will be a mix of both. People will opt for telemedicine for the initial consultation (a non-serious one) and post-treatment follow-ups or review visits or to update on reports. People might get accustomed to telemedicine services but I think that will never replace serious conditions or surgical specialty where doctors need to examine personally to deliver proper care. 

In terms of acceptance level of technology, there has been wider acceptance for non-clinical support systems. For example, chatbots in place to address customer service and AI-driven platforms to check symptoms and guide the patient to respective specialists. This is not for prescriptions, but to enable patients to help themselves in availing services. 

Related: Healthcare Chatbots: Innovative, Efficient, and Low-cost Care

Medical supplies: Another area where digital platforms should have a wider scale of adoption is traveling for non-essential medical supplies. Pharma delivery is one sector that can go entirely digital. We can also have a format where physical stores are eliminated. Delivery can be from warehouse to customer. 

Diagnostics: Apart from radiology, diagnostics can go completely digital. Home care such as remote ICUs, remote monitoring could have potentially greater adoption in the current scenario. 

Disruption in healthcare will also include technologies to strengthen medical education and training.

Operational Challenges in Healthcare

From the operations point of view, digital transformation alone cannot help in preparing for an outbreak of this scale. The reality is we also have to be prepared for the possibility of a next Pandemic wave. The pandemic itself is testing the digital readiness and operational resilience of hospitals, in digitizing services and bringing innovation into healthcare. What are the operational challenges, as far as digital capabilities go, that hospitals are facing currently? And, what steps must they take to bridge these gaps?

Mr. Richard: We all know that the entire system was not geared up for a pandemic of this scale. Hospitals are facing both operational and clinical challenges. However, I’ll address this one particular issue from a digital angle. 

The biggest challenge for any hospital is the lack of a digital care platform and is still heavily dependent on paper-based systems. Now we know that anything can be sanitized but how do we sanitize paper documents. Patients have to carry these documents, touch them, and exchange multiple hands which can be potential carriers of the virus. Now it is more important to keep all the medical records digitized. 

Another aspect is the nature of this virus which is highly communicable and is leading to the community spread of this disease. Therefore, hospitals have a responsibility to maintain data at a patient-level so that contact tracing becomes much more easier and automated. So, maybe a symptom can be added as a trigger in the system and automatically do a contact tracing and give a list of people they can reach out to.

Yet another aspect in healthcare which is prone to change is remote working. Most of the industries such as IT have already geared up for remote working but healthcare has not. Many of the processes still need people coming to the office and working on a computer that is in the network. So, the disruption in healthcare relies on digital platforms to ensure that staff is efficiently deployed.

Changes in the Patient Experience

Both outpatient and in-patient treatment for all major non-communicable diseases including emergencies have declined. Going forward, as the country tries to resume life in the New Normal, industries like retail are experimenting with touchless interfaces to boost the customer’s confidence in shopping in-store. What changes, if any, do you foresee to the physical patient experience?

Mr. Richard: Wherever possible, currently hospitals are trying to minimize contact. Like airports, one can print their boarding pass, even hospitals can ask the patients not to wait in a line at the reception but rather book an appointment and make payments online. Once the appointment is booked, patients can just come and wait for the doctor’s call. We have seen multiple robotic-assisted surgeries where contact with the patient is avoided. Similarly, some technologies may come up taking vitals from the patient in a no-contact manner. There are hospitals in the country that have introduced innovative robots who screen patients coming to the hospitals. There are lots of innovations possible in this area. 

Role of AR, VR and AI in Digital Healthcare 

Huge volumes of data are flowing into the cloud, not just from doctors’ offices and imaging centers, but also from remote devices and sensors worn or operated by patients. By harnessing the vast amounts of data and putting it to work in applications, it helps care providers to improve effectiveness and efficiencies. Do you see technologies like AR/VR/AI playing a role in the future of digital healthcare in India? Can you share some examples of areas that Yashoda Hospitals has begun experimentation or implementation with these technologies?

Mr. Richard: Artificial intelligence, Machine Learning, Augmented Reality, Virtual Reality, Cloud systems, etc. are the buzzwords these days. I do believe that these technologies will pick pace in the healthcare industry as well. But I see a challenge there. Though all the data is on the cloud, the data is held by individual stakeholders and corporations. And standardization of data is the biggest challenge right now. 

So, any company which is working towards utilizing these technologies should first look at technologies that can bring data on one platform which is usable, accessible, and standardized without compromising confidential information of the patient. In terms of innovation at Yashoda hospitals, we are working on a couple of them such as AI-based radiology systems, optimizing customer journeys in hospitals, manpower planning, etc. 

Related: Medical Image Management: DICOM Images Sharing Process

Let’s take the patient discharge process for instance. Transitioning a customer from ‘in-patient’ to ‘out-patient’ is a significant challenge for any hospital, since it involves multiple departments. You’ve even stated before that it takes the integrated view of HIS (hospital information systems), EMR (electronic medical records), inventory, billing, and real-time updates of treatment progress to facilitate discharge at the click of a button. What is your experience in the transformation process and the ground realities of addressing this critical pain point? 

Mr. Richard: Theoretically speaking, the discharge process takes a lot of time but the reason it takes so much time is because it involves multiple stakeholders at a time- internal as well as external. It further gets complicated when the insurance is involved. I think all healthcare providers are looking to simplify the discharge process. The only way it is possible is having technology cut across stakeholders and in real-time. So wherever possible, we can avoid these internal communication delays. 

Return to Normal: The way forward

As hospitals plan for the complicated return stage (once restrictions are lifted), the volume of footfalls, testing, etc. will gradually increase. What advice can you share with other healthcare leaders to prepare their organization on the frontline to manage specific risks regarding employee safety, patient outcomes, etc? What investments (in remote patient monitoring, medical equipment, CRM systems, etc.) should healthcare organizations be making to respond to ‘the return to normal’?

Mr. Richard: I think that the precautionary steps taken by most of the healthcare providers are commendable. It is much better than in other countries across the world. We are in touch with a few of the major chains and the precautions that are being taken are phenomenal. Starting from thermal screens and fever clinics at the entrance, social distancing blogs; we have implemented Cluster Systems within our hospitals. It is a system where the employees are clustered in certain areas to minimize cross-contamination between employees. 

In terms of investment in technology, clinical data can be good to start working on. A good EMR system that seamlessly integrates and exchanges data between all relevant information systems is the need of the time. This investment will not just be in terms of technology but also behavioral change. 

So the system has to be friendly to seamlessly capture the data and make it available across systems. Using data efficiently is important to guide clinical decision support, developing user experience protocols and creating empowerment for the patient. 

Summing up

COVID-19 has changed a lot in us. The lockdown has unlocked a lot of things. It is a good time to innovate. Essential services would be a keyword used for a very long time now in every aspect. Be it shopping, be it food, be it health. And social distancing will be a new lifestyle. 

In this session, Mr. Richard shared insights on the disruption in healthcare and the importance of technological innovations in the new normal for hospitals.


AI is going to be essential for Insurers to gain that competitive edge in the post-pandemic world. Check out Hitee — an industry-pecific chatbot for driving customer engagement. For your specific requirements, please feel free to write to us at hello@mantralabsglobal.com.

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